# ZipRecruiter Jobs Scraper (`kawsar/ziprecruiter-jobs-scraper`) Actor
ZipRecruiter Jobs Scraper collects job listings by keyword and location. You get titles, salaries, company names, and descriptions in a clean dataset, ready to use.
- **URL**: https://apify.com/kawsar/ziprecruiter-jobs-scraper.md
- **Developed by:** [Kawsar](https://apify.com/kawsar) (community)
- **Categories:** Jobs, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $5.00 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## ZipRecruiter Jobs Scraper: collect job listings by keyword and location
ZipRecruiter Jobs Scraper pulls job listings from ZipRecruiter by search term and location. Each result includes the job title, company, salary range, location, and a direct link. Turn on "Fetch full job details" to also grab the full job description, posted date, and employment type from each listing's page.
### What data does this actor collect?
| Field | Type | Description |
|-------|------|-------------|
| jobTitle | String | Job position title |
| companyName | String | Hiring company name |
| location | String | City and state |
| isRemote | Boolean | True if the listing is marked remote |
| salaryText | String | Raw salary string as shown, e.g. $40 - $75/hr |
| salaryMin | Number | Parsed minimum salary value |
| salaryMax | Number | Parsed maximum salary value |
| salaryInterval | String | Pay period: HOUR, YEAR, or MONTH |
| easyApply | Boolean | True if quick-apply is available |
| jobUrl | String | Direct URL to the listing |
| jobId | String | ZipRecruiter internal job ID |
| companyUrl | String | URL to the company's ZipRecruiter profile |
| jobDescription | String | Full plain-text description (fetchJobDetails only) |
| datePosted | String | ISO date the job was posted (fetchJobDetails only) |
| employmentType | String | e.g. FULL_TIME (fetchJobDetails only) |
| scrapedAt | String | UTC timestamp of when this record was collected |
### How to use this actor
#### Input
| Field | Type | Default | Description |
|-------|------|---------|-------------|
| searchQuery | String | required | Job title or keywords to search |
| location | String | blank | City and state, e.g. "Austin, TX" |
| fetchJobDetails | Boolean | false | Visit each listing page for full description and posted date |
| maxItems | Integer | 50 | Max listings to collect, up to 1000 |
| requestTimeoutSecs | Integer | 30 | Per-request timeout in seconds |
#### Example input
```json
{
"searchQuery": "data analyst",
"location": "New York, NY",
"fetchJobDetails": true,
"maxItems": 100
}
````
#### Example output
```json
{
"jobTitle": "Senior Data Analyst",
"companyName": "Acme Corp",
"location": "New York, NY",
"isRemote": false,
"salaryText": "$85K - $110K/yr",
"salaryMin": 85000,
"salaryMax": 110000,
"salaryInterval": "YEAR",
"easyApply": true,
"jobUrl": "https://www.ziprecruiter.com/c/Acme-Corp/Job/Senior-Data-Analyst/-in-New-York,NY?jid=abc123",
"jobId": "abc123",
"companyUrl": "https://www.ziprecruiter.com/co/Acme-Corp/Jobs",
"jobDescription": "We are looking for a Senior Data Analyst...",
"datePosted": "2025-04-20",
"employmentType": "FULL_TIME",
"scrapedAt": "2025-04-28T10:30:00+00:00"
}
```
### Use cases
- Salary research: find out what a role actually pays across dozens of live listings, not just Glassdoor averages
- Recruitment: see what competitors are posting before writing your own job description
- Job feed: pipe listings into your own app, spreadsheet, or database on a schedule
- Resume targeting: pull 50 postings for a role and see which requirements keep coming up
### Performance
With fetchJobDetails off (the default), the actor collects around 20 listings per page request. Each page takes 3-5 seconds. A run of 100 listings finishes in roughly 20-30 seconds.
With fetchJobDetails on, it makes one extra request per job. Expect a few minutes for 100 listings.
### FAQ
**How many listings can it collect per run?**
Up to 1000. Use maxItems to set the limit.
**Does it work for remote jobs?**
Leave location blank, or type "Remote" to filter for remote listings.
**Why are some jobs missing salary data?**
ZipRecruiter only shows salary when the employer provides it. Jobs without it return null for salaryMin, salaryMax, and salaryInterval.
**What does fetchJobDetails actually do?**
It visits each job's own page to collect the full description, posted date, and employment type. This adds roughly one request per listing. For a run of 100 jobs it is the difference between 30 seconds and a few minutes.
**Can I run this on a schedule?**
Yes. The Apify scheduler handles daily or weekly runs without any extra setup.
# Actor input Schema
## `searchQueries` (type: `array`):
One or more job titles, skills, or keywords. Add each on a new line. The actor runs a separate search for each entry.
## `locations` (type: `array`):
One or more cities and states, e.g. 'San Diego, CA'. Leave empty to search nationwide or for remote roles. Each location is combined with every search query.
## `fetchJobDetails` (type: `boolean`):
Visit each listing's page to collect the full job description, posted date, and employment type. Adds one extra request per job.
## `maxItems` (type: `integer`):
Total maximum job listings to collect across all queries and locations.
## `requestTimeoutSecs` (type: `integer`):
Per-request timeout in seconds.
## Actor input object example
```json
{
"searchQueries": [
"data analyst",
"product manager",
"devops engineer"
],
"locations": [
"New York, NY",
"Austin, TX",
"Remote"
],
"fetchJobDetails": true,
"maxItems": 50,
"requestTimeoutSecs": 30
}
```
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"searchQueries": [
"software engineer"
],
"locations": [
"San Diego, CA"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("kawsar/ziprecruiter-jobs-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"searchQueries": ["software engineer"],
"locations": ["San Diego, CA"],
}
# Run the Actor and wait for it to finish
run = client.actor("kawsar/ziprecruiter-jobs-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"searchQueries": [
"software engineer"
],
"locations": [
"San Diego, CA"
]
}' |
apify call kawsar/ziprecruiter-jobs-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=kawsar/ziprecruiter-jobs-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "ZipRecruiter Jobs Scraper",
"description": "ZipRecruiter Jobs Scraper collects job listings by keyword and location. You get titles, salaries, company names, and descriptions in a clean dataset, ready to use.",
"version": "0.0",
"x-build-id": "KcIOXUoF7xR3eOzof"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/kawsar~ziprecruiter-jobs-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-kawsar-ziprecruiter-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/kawsar~ziprecruiter-jobs-scraper/runs": {
"post": {
"operationId": "runs-sync-kawsar-ziprecruiter-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/kawsar~ziprecruiter-jobs-scraper/run-sync": {
"post": {
"operationId": "run-sync-kawsar-ziprecruiter-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"searchQueries"
],
"properties": {
"searchQueries": {
"title": "Search queries",
"type": "array",
"description": "One or more job titles, skills, or keywords. Add each on a new line. The actor runs a separate search for each entry.",
"items": {
"type": "string"
}
},
"locations": {
"title": "Locations",
"type": "array",
"description": "One or more cities and states, e.g. 'San Diego, CA'. Leave empty to search nationwide or for remote roles. Each location is combined with every search query.",
"items": {
"type": "string"
}
},
"fetchJobDetails": {
"title": "Fetch full job details",
"type": "boolean",
"description": "Visit each listing's page to collect the full job description, posted date, and employment type. Adds one extra request per job.",
"default": true
},
"maxItems": {
"title": "Max items",
"minimum": 1,
"maximum": 1000,
"type": "integer",
"description": "Total maximum job listings to collect across all queries and locations.",
"default": 50
},
"requestTimeoutSecs": {
"title": "Request timeout (seconds)",
"minimum": 5,
"maximum": 120,
"type": "integer",
"description": "Per-request timeout in seconds.",
"default": 30
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```